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Sri Guru Granth SahibWorld
| Content Provider | CiteSeerX |
|---|---|
| Author | Kaur, Mandeep Sahib, Fatehgarh Kaur, Usvir Kaur, Roop Kamal |
| Abstract | As the data on the web is growing rapidly, more and more people rely on the search engines to explore the web.Due to heterogeneous and unstructured nature of the web data, Web mining uses various data mining techniques to extract hidden useful knowledge from Web hyperlinks, page content and web usage logs. Web Usage Mining is one of the applications of data mining techniques that are used to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases: preprocessing, pattern discovery, and pattern analysis. In this paper Ripley‟s k-function is used to refine the original clusters obtained by k-mean and weighted k-mean clustering algorithms. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Sri Guru Granth Sahibworld Web Usage Mining Web Data Web Usage Log Weighted K-mean Clustering Algorithm Interesting Usage Pattern Web Hyperlink Pattern Analysis Web-based Application Various Data Mining Technique Paper Ripley K-function Hidden Useful Knowledge Web Mining Page Content Unstructured Nature Original Cluster Pattern Discovery |
| Content Type | Text |
| Resource Type | Article |
